A shortened version of Raven’s standard progressive matrices for children and adolescents

Numerous developmental studies assess general cognitive ability, not as the primary variable of interest, but rather as a background variable. Raven’s Progressive Matrices is an easy to administer non-verbal test that is widely used to measure general cognitive ability. However, the relatively long administration time (up to 45 min) is still a drawback for developmental studies as it often leaves little time to assess the primary variable of interest. Therefore, we used a machine learning approach – regularized regression in combination with cross-validation – to develop a short 15-item version. We did so for two age groups, namely 9 to 12 years and 13 to 16 years. The short versions predicted the scores on the standard full 60-item versions to a very high degree r = 0.89 (9–12 years) and r = 0.93 (13–16 years). We, therefore, recommend using the short version to measure general cognitive ability as a background variable in developmental studies.     

Tracking the line of primary gaze in a walking simulator: modeling and calibration.

This article describes a system for tracking the line of primary gaze (LoPG) of participants as they view a large projection screen. Using a magnetic head tracker and a tracking algorithm, we find the onscreen location at which a participant is pointing a head-mounted crosshair. The algorithm presented for tracking the LoPG uses a polynomial function to correct for distortion in magnetic tracker readings, a geometric model for computing LoPG from corrected tracker measurements, and a method for finding the intersection of the LoPG with the screen. Calibration techniques for the above methods are presented. The results of two experiments validating the algorithm and calibration methods are also reported. Experiments showed an improvement in accuracy of LoPG tracking provided by each of the two presented calibration steps, yielding errors in LoPG measurements of less than 2 degrees over a wide range of head positions. Source code for the described algorithms can be downloaded from the Psychonomic Society Web archive, http://www.psychonomic.org/archive/.     

Relationship Trajectories: A Meta-Theoretical Framework and Theoretical Applications

This article introduces a metatheoretical framework—the Relationship Trajectories Framework—that conceptualizes how human mating relationships develop across their complete time span, from the moment two people meet until the relationship ends. The framework depicts relationships as arc-shaped evaluative trajectories that vary on five dimensions: shape (which includes ascent, peak, and descent), fluctuation, threshold, composition, and density. The framework can depict single trajectories in isolation or two partners’ trajectories with respect to each other (dyadic trajectories). Two theoretical models demonstrate the generative power of the framework—the relationship coordination and strategic timing (ReCAST) model and the sociosexuality trajectory model—both of which integrate close relationships and evolutionary psychological perspectives on mating. Finally, additional examples illustrate how the framework can generate new research questions about core relationships topics.     

Die klinische Neuorientierung zum Hysterieproblem unter dem Einfluß der Kriegserfahrungen

Ohne Zusammenfassung